The main goal for the project is to identify signs on the skin that can indicate kidney problems. This involves understanding what signals can identify kidney issues, where they are localized, how they look, and why they occur. Additionally, the project aims to create a database with skin samples, train AI models to understand the signals, analyze and improve the models through feedback, and ultimately deploy the model for practical use in identifying kidney problems through skin signals.

Tasks for learners to complete to achieve the project goal include:

- Researching and identifying skin signals that can indicate kidney problems

- Creating a database with skin samples that exhibit these signals

- Training AI models to recognize and understand the identified skin signals

- Analyzing the performance of the AI models and improving them based on feedback and additional data

- Deploying the trained model for practical use in identifying kidney problems through skin signals

Final deliverables should include:

- A comprehensive report detailing the identified skin signals, the database of skin samples, the trained AI models, and the deployment process

- The trained AI model ready for deployment

- Documentation of the feedback and improvements made to the AI model

We will provide comprehensive support to students throughout the project to ensure its successful completion. This support includes:

1. Access to Tools and Technology: Students will have access to cutting-edge tools and technology necessary for the project. This includes AI model licenses, which we will provide such as Microsoft Azure AI, Google Vertex AI, and OpenAI.
2. Dedicated Support Person: One designated individual will be assigned to assist students with any questions or challenges they encounter during the project. This person will be available to provide guidance, troubleshoot issues, and offer support as needed.